Graduate Fellow - AI & Knowledge Mgt.

Savannah River National Laboratory is a multi-program laboratory focused on applying advanced science to solve complex problems. They are seeking graduate fellows to advance AI-driven knowledge management capabilities, focusing on intelligent information retrieval and multi-agent AI workflows. The role involves designing knowledge management pipelines, developing AI architectures, and collaborating with research teams.

Responsibilities:

• Design and implement knowledge management pipelines using large language models (LLMs), retrieval-augmented generation (RAG), and vector databases to enable intelligent information retrieval across large, multi-modal document corpora
• Develop and evaluate multi-agent AI architectures for automated reasoning, summarization, and decision support
• Build and maintain knowledge graphs and ontologies to represent complex domain relationships and support semantic search
• Collaborate with cross-functional research teams to integrate AI knowledge tools into existing scientific workflows and applications
• Author technical documentation, scientific journal articles, and internal reports communicating methods and findings to both technical and non-technical audiences
• Participate in code reviews and contribute to a shared, well-maintained research codebase
• Monitor and evaluate emerging developments in LLMs, agentic AI, and knowledge management frameworks, and assess their applicability to ongoing projects